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darknerofil's Projects

awesome-dotnet-core icon awesome-dotnet-core

:honeybee: A collection of awesome .NET core libraries, tools, frameworks and software

devmap icon devmap

Карта развития веб-разработчика

jaeles icon jaeles

The Swiss Army knife for automated Web Application Testing

library-manager icon library-manager

Simple desktop application written in C# (WPF) to manage a library.

llama-cli icon llama-cli

:camel: self-hosted, Simple LLaMA/alpaca/gpt4all API & CLI written in go

marketgan icon marketgan

Implementing a Generative Adversarial Network on the Stock Market

ovirt-engine-sdk icon ovirt-engine-sdk

This is a mirror for http://gerrit.ovirt.org, for issues use http://bugzilla.redhat.com

pwnadventure3 icon pwnadventure3

Resources for the Pwn Adventure 3 challenges from GITS'15 (http://ghostintheshellcode.com/2015-final/)

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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